Standard ML impact and status on Exercism

Standard ML

1,945 students

About Standard ML

Practice

34 contributors

64 mentors

Standard ML Track Management

This page provides the Exercism community with the information and tools needed to manage the Standard ML track.

Students

1,945

Submissions

18,030

Mentoring Discussions

112

The Standard ML track needs attention ⚠️

Building

Practice Exercises

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Practice Exercises are exercises designed to allow students to solve an arbitrary problem, with the aim of them making use of the concepts they have learned so far.

Synced primary repo: dfac685cfc588d3e7f46aac5bd585f17eb208705 (Updates should be instant)

Next goal: Implement 131 practice exercises. Find out more.

69 active practice exercises

Started

Attempts

Completions

Mentoring requests

Hello World

1,172

1,447 (avg. 1.2)

859 (73.3%)

0 (0.0%)

Leap

501

1,631 (avg. 3.3)

329 (65.7%)

35 (7.0%)

Two-Fer

347

1,330 (avg. 3.8)

249 (71.8%)

39 (11.2%)

Acronym

145 (avg. 3.8)

28 (73.7%)

1 (2.6%)

Affine Cipher

152 (avg. 5.6)

15 (55.6%)

2 (7.4%)

Allergies

451 (avg. 5.6)

49 (60.5%)

3 (3.7%)

Armstrong Numbers

56 (avg. 4.0)

9 (64.3%)

0 (0.0%)

Bob

304 (avg. 4.2)

44 (61.1%)

1 (1.4%)

Collatz Conjecture

126

734 (avg. 5.8)

94 (74.6%)

6 (4.8%)

Darts

30 (avg. 2.5)

9 (75.0%)

0 (0.0%)

Difference of Squares

186 (avg. 2.8)

52 (78.8%)

2 (3.0%)

Eliud's Eggs

58 (avg. 3.9)

13 (86.7%)

0 (0.0%)

Flatten Array

199 (avg. 3.2)

45 (71.4%)

2 (3.2%)

Grains

68 (avg. 4.9)

9 (64.3%)

0 (0.0%)

Hamming

172 (avg. 2.6)

49 (75.4%)

2 (3.1%)

Nucleotide Count

19 (avg. 3.2)

4 (66.7%)

0 (0.0%)

Pangram

136

634 (avg. 4.7)

73 (53.7%)

3 (2.2%)

Pascal's Triangle

68 (avg. 2.6)

16 (61.5%)

0 (0.0%)

RNA Transcription

122 (avg. 2.8)

33 (75.0%)

0 (0.0%)

Raindrops

198 (avg. 3.8)

39 (75.0%)

1 (1.9%)

Resistor Color

21 (avg. 2.6)

6 (75.0%)

0 (0.0%)

Resistor Color Duo

15 (avg. 1.9)

5 (62.5%)

0 (0.0%)

Reverse String

162 (avg. 3.1)

43 (81.1%)

1 (1.9%)

Sum of Multiples

132 (avg. 2.7)

33 (67.3%)

0 (0.0%)

Triangle

198 (avg. 7.6)

18 (69.2%)

0 (0.0%)

Anagram

274 (avg. 4.6)

40 (67.8%)

1 (1.7%)

Atbash Cipher

325 (avg. 6.5)

36 (72.0%)

0 (0.0%)

Binary Search

32 (avg. 3.6)

7 (77.8%)

0 (0.0%)

ISBN Verifier

211 (avg. 9.2)

13 (56.5%)

0 (0.0%)

Isogram

27 (avg. 2.1)

7 (53.8%)

0 (0.0%)

Kindergarten Garden

95 (avg. 5.9)

11 (68.8%)

0 (0.0%)

Largest Series Product

26 (avg. 4.3)

3 (50.0%)

0 (0.0%)

Perfect Numbers

218 (avg. 4.7)

34 (73.9%)

1 (2.2%)

Phone Number

148 (avg. 3.6)

30 (73.2%)

0 (0.0%)

Prime Factors

61 (avg. 1.5)

28 (66.7%)

1 (2.4%)

Protein Translation

83 (avg. 5.5)

9 (60.0%)

0 (0.0%)

Proverb

8 (avg. 1.6)

3 (60.0%)

0 (0.0%)

Rotational Cipher

42 (avg. 4.2)

7 (70.0%)

0 (0.0%)

Scrabble Score

346 (avg. 7.1)

34 (69.4%)

1 (2.0%)

Secret Handshake

199 (avg. 18.1)

8 (72.7%)

0 (0.0%)

Space Age

180

915 (avg. 5.1)

130 (72.2%)

2 (1.1%)

Strain

114 (avg. 3.6)

29 (90.6%)

0 (0.0%)

Twelve Days

3 (avg. 0.6)

3 (60.0%)

0 (0.0%)

All Your Base

294 (avg. 3.5)

44 (53.0%)

4 (4.8%)

Bottle Song

4 (avg. 0.8)

2 (40.0%)

0 (0.0%)

Diamond

168 (avg. 4.0)

30 (71.4%)

0 (0.0%)

Gigasecond

56 (avg. 2.7)

9 (42.9%)

0 (0.0%)

House

3 (avg. 0.8)

2 (50.0%)

0 (0.0%)

List Ops

220

3,633 (avg. 16.5)

185 (84.1%)

1 (0.5%)

Luhn

63 (avg. 7.0)

6 (66.7%)

0 (0.0%)

Matching Brackets

547 (avg. 5.8)

56 (58.9%)

4 (4.2%)

Matrix

157 (avg. 12.1)

8 (61.5%)

0 (0.0%)

Nth Prime

163 (avg. 3.5)

32 (69.6%)

1 (2.2%)

Pig Latin

206 (avg. 4.9)

25 (59.5%)

1 (2.4%)

Queen Attack

14 (avg. 1.3)

7 (63.6%)

0 (0.0%)

Run-Length Encoding

183 (avg. 12.2)

12 (80.0%)

0 (0.0%)

Sieve

21 (avg. 3.5)

4 (66.7%)

0 (0.0%)

Square Root

129 (avg. 6.5)

14 (70.0%)

0 (0.0%)

Sublist

62 (avg. 4.8)

6 (46.2%)

0 (0.0%)

Yacht

115 (avg. 10.5)

7 (63.6%)

0 (0.0%)

Food Chain

2 (avg. 0.5)

2 (50.0%)

0 (0.0%)

Knapsack

30 (avg. 3.8)

5 (62.5%)

0 (0.0%)

Pythagorean Triplet

51 (avg. 4.6)

5 (45.5%)

0 (0.0%)

Roman Numerals

73 (avg. 1.9)

26 (68.4%)

0 (0.0%)

Say

24 (avg. 4.0)

3 (50.0%)

0 (0.0%)

Transpose

54 (avg. 6.0)

4 (44.4%)

0 (0.0%)

Wordy

70 (avg. 6.4)

6 (54.5%)

0 (0.0%)

Palindrome Products

33 (avg. 3.3)

6 (60.0%)

0 (0.0%)

Circular Buffer

62 (avg. 7.8)

5 (62.5%)

1 (12.5%)

2 deprecated practice exercises

Started

Attempts

Completions

Mentoring requests

Accumulate

150 (avg. 1.7)

77 (85.6%)

6 (6.7%)

Binary

4 (avg. 1.3)

2 (66.7%)

0 (0.0%)

62 unimplemented practice exercises

Alphametics

Baffling Birthdays

Binary Search Tree

Book Store

Bowling

Change

Clock

Complex Numbers

Connect

Conway's Game of Life

Crypto Square

Custom Set

Dominoes

DOT DSL

Error Handling

ETL

Forth

Go Counting

Grade School

Grep

Hangman

High Scores

Intergalactic Transmission

Killer Sudoku Helper

Ledger

Lens Person

Linked List

Markdown

Meetup

Micro Blog

Minesweeper

OCR Numbers

PaaS I/O

Poker

POV

Rail Fence Cipher

Rational Numbers

React

Rectangles

Relative Distance

Resistor Color Trio

REST API

Robot Name

Robot Simulator

Saddle Points

Satellite

Series

SGF Parsing

Simple Cipher

Simple Linked List

Spiral Matrix

Split-Second Stopwatch

State of Tic-Tac-Toe

Swift Scheduling

Tournament

Tree Building

Two Bucket

Variable Length Quantity

Word Count

Word Search

Zebra Puzzle

Zipper

3 foregone practice exercises

Bank Account

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D&D Character

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Parallel Letter Frequency

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Programming Tags

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Help manage the tags used to group, filter and recommend solutions, approaches and articles.

0 tags

Test Runner

Learn More

Create Test Runners that have the single responsibility of taking a solution, running all tests and returning a standardized output.

Current version: fdb7aeb92608152ce4367160f8f364353a9fc220 (Takes up to 10 mins to deploy)

Next goal: Get Test Runners to Version 2. Standard ML is currently utilising a Version 1 Test Runner. Find out more.

Total Test Runner Runs

17,647

Test Run Pass Rate

28.3% (4998)

Test Run Fail Rate

70.7% (12483)

Test Run Error Rate

0.9% (166)

Representer

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Build a Representer: a bit of code that has the single responsibility of taking a solution and returning a normalized representation of it.

Next goal: Build a Representer. Find out more.

Analyzer

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Build an Analyzer for Standard ML: Exercism's analyzers automatically assess student's submissions and provide mentor-style commentary.

Next goal: Build an Analyzer. Find out more.

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